Method and system for automated analysis of human behavior

A computer system comprising:

• one or more processors;
• and
• a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for automated analysis of human behavior, wherein the automated analysis of human behavior is performed for determining fraudulent behavior, the method comprising:
• collecting, at a fraudulent behavior detection system, a technical data and a video data from one or more data sources and one or more video sources, wherein the one or more data sources and the one or more video sources are associated with the fraudulent behavior detection system;
• training, at the fraudulent behavior detection system, the fraudulent behavior detection system with the collected technical data and the video data in real-time, wherein the fraudulent behavior detection system facilitates training in real-time, wherein the training of the fraudulent behavior detection system is performed using one or more hardware-run machine learning algorithms and one or more hardware-run deep learning algorithms;
• receiving, at the fraudulent behavior detection system, a live video stream data from the one or more video sources, wherein the live video stream data is received continuously in real-time, wherein the one or more video sources are installed at a facility;
• analyzing, at the fraudulent behavior detection system, the live video stream data received from the one or more video sources installed at the facility in real-time, wherein the live video stream data is analyzed using the one or more hardware-run machine learning algorithms and the one or more hardware-run deep learning algorithms;
• and
• predicting, at the fraudulent behavior detection system, likelihood of fraudulent behavior of humans based on the analysis of the live video stream data, wherein the prediction is performed for alarming concerned authorities of the facility about the likelihood of the fraudulent behavior.

A non-transitory computer-readable storage medium encoding computer executable instructions that, when executed by at least one processor, performs a method for automated analysis of human behavior, wherein the automated analysis of human behavior is performed for determining fraudulent behavior, the method comprising:

• collecting, at a computing device, a technical data and a video data from one or more data sources and one or more video sources, wherein the one or more data sources and the one or more video sources are associated with a fraudulent behavior detection system;
• training, at the computing device, the fraudulent behavior detection system with the collected technical data and the video data in real-time, wherein the fraudulent behavior detection system facilitates training in real-time, wherein the training of the fraudulent behavior detection system is performed using one or more hardware-run machine learning algorithms and one or more hardware-run deep learning algorithms;
• receiving, at the computing device, a live video stream data from the one or more video sources, wherein the live video stream data is received continuously in real-time, wherein the one or more video sources are installed at a facility;
• analyzing, at the computing device, the live video stream data received from the one or more video sources installed at the facility in real-time, wherein the live video stream data is analyzed using the one or more hardware-run machine learning algorithms and the one or more hardware-run deep learning algorithms;
• and
• predicting, at the computing device, likelihood of fraudulent behavior of humans based on analysis of the live video stream data, wherein the prediction is performed for alarming concerned authorities of the facility about the likelihood of the fraudulent behavior.